RRepoGEO

REPOGEO REPORT · LITE

baturyilmaz/wordpecker-app

Default branch main · commit 478b8b2d · scanned 6/26/2026, 6:23:17 AM

GitHub: 2,119 stars · 203 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface baturyilmaz/wordpecker-app, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening paragraph to explicitly state its category and audience

    Why:

    CURRENT
    A personalized language-learning app that brings the magic of Duolingo-style lessons to your own curated vocabulary lists and contexts.
    COPY-PASTE FIX
    WordPecker App is a personalized language-learning platform, not a word game or dictionary tool. It helps you build and master your own vocabulary by combining Duolingo-style interactive lessons with your curated word lists, allowing you to seamlessly add words from any source and revisit them through quizzes and LLM-generated exercises.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    language-learning, vocabulary, education, llm, personalized-learning, duolingo-style, web-app, react, nodejs, mongodb
  • mediumreadme#3
    Add a dedicated section highlighting LLM integration

    Why:

    COPY-PASTE FIX
    ## ✨ AI-Powered Features
WordPecker App leverages Large Language Models (LLMs) to generate dynamic and personalized lessons, quizzes, and contextual examples based on your custom vocabulary lists, enhancing your learning experience.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface baturyilmaz/wordpecker-app
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Anki
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Anki · recommended 2×
  2. Memrise · recommended 2×
  3. Quizlet · recommended 1×
  4. Lingvist · recommended 1×
  5. Readlang Web Reader · recommended 1×
  • CATEGORY QUERY
    What tools help build personalized language lessons from my own word collections?
    you: not recommended
    AI recommended (in order):
    1. Anki
    2. Memrise
    3. Quizlet
    4. Lingvist
    5. Readlang Web Reader
    6. Google Sheets
    7. Excel

    AI recommended 7 alternatives but never named baturyilmaz/wordpecker-app. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What language learning platforms integrate LLM-generated lessons for custom vocabulary?
    you: not recommended
    AI recommended (in order):
    1. Memrise
    2. Anki
    3. OpenAI's GPT models
    4. GPT-3 Sentence Generator
    5. LingQ
    6. Speechling
    7. Duolingo
    8. Duolingo Max
    9. ChatGPT
    10. Google Gemini
    11. Claude

    AI recommended 11 alternatives but never named baturyilmaz/wordpecker-app. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of baturyilmaz/wordpecker-app?
    pass
    AI named baturyilmaz/wordpecker-app explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts baturyilmaz/wordpecker-app in production, what risks or prerequisites should they evaluate first?
    pass
    AI named baturyilmaz/wordpecker-app explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo baturyilmaz/wordpecker-app solve, and who is the primary audience?
    pass
    AI did not name baturyilmaz/wordpecker-app — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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baturyilmaz/wordpecker-app — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite